计算机与现代化 ›› 2024, Vol. 0 ›› Issue (05): 1-4.doi: 10.3969/j.issn.1006-2475.2024.05.001

• 算法设计与分析 •    下一篇

基于矩阵恢复的OFDM信道估计方法

  

  1. (南京邮电大学通信与信息工程学院,江苏 南京 210003)
  • 出版日期:2024-05-29 发布日期:2024-06-12
  • 作者简介:张晶晶(1996—),女,安徽六安人,硕士研究生,研究方向:无线通信系统,E-mail: 18895374491@163.com; 黄学军(1967—),男,副教授,博士,研究方向:现代无线通信,物联网技术,E-mail: huangxj@njupt.edu.cn。
  • 基金资助:
    国家自然科学基金资助项目(61427801)

OFDM Channel Estimation Based on Matrix Recovery


  1. (College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
  • Online:2024-05-29 Published:2024-06-12

摘要: 摘要:正交频分复用(Orthogonal Frequency Division Multiplexing, OFDM)中至关重要的一项技术是信道估计,本文提出一种基于矩阵恢复的OFDM信道估计方法,将连续多个OFDM信号的频域信道构造成一个信道矩阵,由于这个信道矩阵是低秩的,所以可以将信道估计问题转换为信道矩阵的加权截断核范数最小化问题,并使用改进的奇异值阈值(Singular Value Thresholding, SVT)算法对信道矩阵进行恢复。仿真结果表明,本文提出的方法和传统信道估计算法相比,使用相同导频数可以获得更高的估计精度,在获得相同估计精度时,消耗导频数更少。与基于压缩感知的信道估计方法相比,本文方法消耗相同数量的导频,但可直接获得高精度的OFDM信道的频域估计。

关键词: 正交频分复用, 信道估计, 矩阵恢复, 奇异值阈值算法

Abstract: Abstract: Orthogonal frequency division multiplexing (OFDM) is a crucial technology in channel estimation, this paper proposes an OFDM channel estimation method based on matrix recovery, multiple consecutive OFDM signal in the frequency domain channel is constructed to a channel matrix. Since this channel matrix is low rank, the channel estimation problem can be converted to the weighted truncated kernel norm minimization problem of the channel matrix and the improved Singular Value Thresholding algorithm is used for recovery. The simulation results show that compared with the traditional channel estimation algorithm, the proposed method can use fewer pilot signals when the same precision channel estimation is obtained. Compared with the channel estimation method based on compressed sensing, the proposed method consumes the same amount of pilot frequency but can directly obtain high precision frequency domain estimation of OFDM channel.

Key words: Key words: OFDM, channel estimation, matrix recovery, singular threshold algorithm

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